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Recombee

Recombee is an AI-powered SaaS recommender engine based in Prague since 2015, specializing in personalized content and search recommendations using advanced machine learning. Our mission is to bring the highest quality recommender system to our clients. By analyzing item attributes and user behavior, we offer a competitive edge in content and product personalization for Media, E-commerce, Real Estate, Marketplaces, and VOD. Our scalable infrastructure delivers real-time recommendations from the first user interaction. Trusted by clients like Prima, CNC, and Vltava Labe Media, Recombee is developped by leading AI researchers and data scientists with 30+ years of experience. In partnership with ČVUT, we stay at the forefront of innovation.

  • Vendor typesProducts & Devices
  • Client typesB2B (enterprises), B2B (startups and SMEs)
  • Business ImpactsCustomer Experience & Market Growth, Data-Driven Decisions & Planning, Operational Efficiency & Cost Savings
  • IndustryCreative, Gaming & Entertainment, Education, Hospitality & Travel, Information & Communication Technologies, Marketing & Media, Real Estate, Retail & E-commerce
  • Application areasContent, Media & Communications, Customer Support & Experience, Data Analytics & Business Intelligence, HR, Talent & Knowledge Management
  • Solutions & Services

    Ready-Made Solutions

    SaaS
  • Technical expertises

    Classical AI & Applications

    Customer Intelligence & Personalization, Natural Language Processing (NLP), Reinforcement Learning

    Data & Infrastructure

    Data Visualization & Business Intelligence

    Machine Learning & MLOps

    Classical ML & Applied Predictive Modeling

    Research & Innovation

    Advanced Algorithm & Model Development, Applied AI Innovation & Prototyping, Experimentation & Evaluation Methods, Scientific AI Research & Publications

Real-time recommendation engine, personalized search, A/B Testing, content boosting, business rules, item-to-item recommendation, user-to-item recommendation, deep learning personalization, collaborative filtering, content-based filtering, cold-start problem handling, real-time personalization, e-commerce product recommendations, news media personalization, VOD recommendations, music recommendation, real estate recommendation, travel recommendation, scalable infrastructure, insights, user interaction tracking.

Case studies from Recombee

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